text: import numpy as np
  import matplotlib.pyplot as plt
  #%%
  
  plt.rc('font', family='serif')
  plt.rc('xtick', labelsize='10')
  plt.rc('ytick', labelsize='10')
  plt.rc('axes', titlesize=12)
  plt.rc('text', usetex=True)
  
  #%%
  monot = np.array([0.486,0.481,0.059,0.035,0.481,0.287])
  monot_cum = np.array([1,1,0.998,1,1,1])
  trend = np.array([0.987,0.989,0.985,0.994,0.988,0.990])
  trend_cum = np.array([0.993,0.995,0.890,0.976,0.993,0.996])
  
  #%%
  
  fig, axis = plt.subplots(1,1, figsize=(4,3.5))
  
  axis.scatter(monot, trend, c='k', marker='^')
  axis.scatter(monot_cum, trend_cum, c='k', marker='o')
  axis.legend(['Features','Cumulative Features'], framealpha=.5,loc='lower center')
  axis.set_ylabel('Trendability')
  axis.set_xlabel('Monotonicity')
  axis.set_xlim([0,1.1])
  axis.set_ylim([0,1.1])
  axis.grid(ls=':')
  fig.tight_layout()
  
  fig.savefig('/home/abdeljalil/Workspace/MasterThesis/figures/featuresfitness.pdf')
  #%%
  
  
  fig, axis = plt.subplots(1,1, figsize=(4,3.5))
  
  axis.scatter(monot, trend, c='k', marker='^')
  axis.scatter(monot_cum, trend_cum, c='k', marker='o')
  axis.legend(['Caractéristiques','Caractéristiques Cumulatives'], framealpha=.5,loc='lower center')
  axis.set_ylabel('Trendabilité')
  axis.set_xlabel('Monotonie')
  axis.set_xlim([0,1.1])
  axis.set_ylim([0,1.1])
  axis.grid(ls=':')
  fig.tight_layout()
  fig.savefig('/home/abdeljalil/Workspace/MasterThesis/figures/featuresfitness_fr.pdf')
  